Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina

Information about daily variations of vegetation moisture is of widespread interest to monitor vegetation stress and as a proxy to evapotranspiration. In this context, we evaluated optical and passive microwave remote sensing indices for estimating vegetation moisture content in the Dry Chaco Forest...

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Detalles Bibliográficos
Publicado: 2014
Materias:
Microwave index
optical indices
vegetation water status
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v7_n2_p421_Barraza
http://hdl.handle.net/20.500.12110/paper_19391404_v7_n2_p421_Barraza
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_19391404_v7_n2_p421_Barraza
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spelling paper:paper_19391404_v7_n2_p421_Barraza2023-06-08T16:32:13Z Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina Microwave index optical indices vegetation water status Information about daily variations of vegetation moisture is of widespread interest to monitor vegetation stress and as a proxy to evapotranspiration. In this context, we evaluated optical and passive microwave remote sensing indices for estimating vegetation moisture content in the Dry Chaco Forest, Argentina. The three optical indices analyzed were the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Water Index (NDWI) and the Normalized Difference Infrared Index (NDII) and, for the microwave region the Frequency Index (FI). All these indices are mainly sensitive to leaf area index (LAI), but NDWI and NDII, and FI are also sensitive to leaf water content (LWC) and Canopy Water Content (CWC) respectively. Using optical and microwave radiative transfer models for the vegetation canopy, we estimated the range of values of LAI, LWC and CWC that can explain both NDWI/NDII and FI observations. Using a combination of simulations and microwave and optical observations, we proposed a two step approach to estimate leaf and canopy moisture content from NDWI, NDII and FI. We found that the short variation of LWC estimated from NDWI and NDII present a dynamic range of values which is difficult to explain from the biophysical point of view, and it is partially related to atmosphere contamination and canopy radiative transfer model limitations. Furthermore, the observed FI short-term variations ($\\sim$8 days) cannot be explained unless significant CWC variations are assumed. The CWC values estimated from FI present a short-term variations possibly related to vegetation hydric stress. © 2008-2012 IEEE. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v7_n2_p421_Barraza http://hdl.handle.net/20.500.12110/paper_19391404_v7_n2_p421_Barraza
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Microwave index
optical indices
vegetation water status
spellingShingle Microwave index
optical indices
vegetation water status
Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina
topic_facet Microwave index
optical indices
vegetation water status
description Information about daily variations of vegetation moisture is of widespread interest to monitor vegetation stress and as a proxy to evapotranspiration. In this context, we evaluated optical and passive microwave remote sensing indices for estimating vegetation moisture content in the Dry Chaco Forest, Argentina. The three optical indices analyzed were the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Water Index (NDWI) and the Normalized Difference Infrared Index (NDII) and, for the microwave region the Frequency Index (FI). All these indices are mainly sensitive to leaf area index (LAI), but NDWI and NDII, and FI are also sensitive to leaf water content (LWC) and Canopy Water Content (CWC) respectively. Using optical and microwave radiative transfer models for the vegetation canopy, we estimated the range of values of LAI, LWC and CWC that can explain both NDWI/NDII and FI observations. Using a combination of simulations and microwave and optical observations, we proposed a two step approach to estimate leaf and canopy moisture content from NDWI, NDII and FI. We found that the short variation of LWC estimated from NDWI and NDII present a dynamic range of values which is difficult to explain from the biophysical point of view, and it is partially related to atmosphere contamination and canopy radiative transfer model limitations. Furthermore, the observed FI short-term variations ($\\sim$8 days) cannot be explained unless significant CWC variations are assumed. The CWC values estimated from FI present a short-term variations possibly related to vegetation hydric stress. © 2008-2012 IEEE.
title Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina
title_short Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina
title_full Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina
title_fullStr Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina
title_full_unstemmed Monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, Argentina
title_sort monitoring vegetation moisture using passive microwave and optical indices in the dry chaco forest, argentina
publishDate 2014
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v7_n2_p421_Barraza
http://hdl.handle.net/20.500.12110/paper_19391404_v7_n2_p421_Barraza
_version_ 1768542810740359168

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